Sentence examples for density of the local from inspiring English sources
Dh(r) is the density of the Thomas Fermi kinetic energy for the homogeneous electron gas, which acts as a normalizing multiplier; D r) is interpreted as excess density of the local kinetic energy of electrons (fermions) resulting from repulsion according to the Pauli principle relative to the density of the local kinetic energy of bosons [22].
Moreover, the number of nearest training samples of each new fault sample is adaptively determined according to the density of the local distribution of the new fault sample.
The second and the third experiments manipulated the density of the local elements (Experiment 2) and the size of the global and local shapes of the stimuli (Experiment 3) to assess whether these variables could affect global or local perception of hierarchical visual patterns in fish.
Population density of the local area was not different between participating controls and their matched cases.
These autoinducers allow bacteria to assess the density of the local bacterial population and coordinate critical gene expression.
On the null hypothesis of no association between the t's and the a's – that is, no association between the numbers of epithelial cells and the CT density of the local tissue – the expected value of the t's is simply proportional to the related a's, so that, for example, the expected value of tH is (tL + tM + tH) × aH/ aL + aM + aH).
Because of the low densities of the Local Bubble, n < 0.005 cm−3, interstellar shocks propagate relatively long distances before dissipating.
The ratio of the surface density to the local median surface density is relatively constant along an arm.
This finding reflects that the high density of poultry, the local geography (e.g., wetlands, water reservoirs, and rice paddies), and farming practice in these regions might be risk factors for outbreaks.
Moreover, the Weibull distribution is shown to fit well the probability density function of the local peaks in the acceleration response.
They first detect sparse outliers applying a scheme based on the relative density deviation of the local neighborhood and the average local neighborhood, providing a scoring strategy that includes a normalization to become independent from the specific data distribution.
